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Accumulation of polychlorinated biphenyls from contaminated sediment by Atlantic cod (Gadus morhua): Direct accumulation from resuspended sediment and dietary accumulation via the polychaete Nereis virens

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This is the peer reviewed version of the following article:

Ruus, A. , Daae, I. A. and Hylland, K. (2012), Accumulation of polychlorinated biphenyls from contaminated sediment by Atlantic cod (Gadus morhua): Direct accumulation

from resuspended sediment and dietary accumulation via the polychaete Nereis virens. Environmental Toxicology and Chemistry, 31: 2472-2481,

which has been published in final form at https://doi.org/10.1002/etc.1973.

This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

It is recommended to use the published version for citation.

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Accumulation of PCBs by Atlantic Cod

1

Anders Ruus

2

Norwegian Institute for Water Research (NIVA), Gaustadalléen 21, NO-0349 Oslo, Norway

3

Phone: +47 22 18 51 00

4

Fax: +47 22 18 52 00

5

[email protected]

6

Total number of words: 7,213

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ACCUMULATION OF POLYCHLORINATED BIPHENYLS FROM CONTAMINATED

10

SEDIMENT BY ATLANTIC COD (GADUS MORHUA) – DIRECT ACCUMULATION

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FROM RESUSPENDED SEDIMENT AND DIETARY ACCUMULATION VIA THE

12

POLYCHAETE NEREIS VIRENS

13 14

Anders Ruus,*† Ingrid Aarre Daae, ‡ Ketil Hylland, †‡

15

† Norwegian Institute for Water Research, Gaustadalléen 21, NO-0349 Oslo, Norway

16

‡ University of Oslo, Department of Biology, PO Box 1066, Blindern, N-0316 Oslo, Norway

17 18 19

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* To whom correspondence may be addressed ([email protected]).

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Abstract

23 24

Bioaccumulation of sediment associated polychlorinated biphenyls (PCBs) was examined in

25

Atlantic cod (Gadus morhua) through (1.) direct diffusion from the sediment (via the water

26

phase), and (2.) through the food chain (dietary exposure). To facilitate direct accumulation from

27

the sediment, the sediment was continuously resuspended. To study the dietary bioaccumulation

28

of PCBs, cod were fed benthic polychaetes (Nereis virens) previously exposed to test sediments,

29

i.e. “naturally” polluted sediments from the inner Oslofjord (Norway). Both exposure

30

experiments had duration of 129 days. Furthermore, the role of sediments as source of PCBs

31

accumulated in Oslofjord cod was elucidated, using results from environmental monitoring as a

32

reference. Generally, the results suggest that the contaminated sediments of the inner Oslofjord

33

are an important source of legacy PCBs for accumulation in resident cod, although additional

34

contributions also may be important. Crude estimates of assimilation efficiency of ingested PCBs

35

(through diet) was found to be 30-50%; highest for the lower chlorinated congeners (PCB-28 and

36

-52). Challenges for applying Trophic Magnification Factors (TMF) for determining

37

biomagnification in laboratory experiments, in terms of preventive environmental safety, are

38

indicated. The results provide useful information for parameterization of models describing the

39

behaviour of hydrophobic persistent contaminants in the foodweb of the Oslofjord and elsewhere.

40 41 42

Key Words: Bioaccumulation, PCB, Gadus morhua, sediment, Nereis virens

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45

Introduction

46 47

Polychlorinated biphenyls (PCBs) and bioaccumulation processes

48

The identification of polychlorinated biphenyls (PCBs) in samples of biota by Søren Jensen in

49

the 1960s [1] initiated extensive investigation on their abundance in the environment, and their

50

distribution throughout the biosphere is now well documented [e.g. 2-4]. The banning of PCBs in

51

several countries was to follow in the 1970s and caused the global PCB production to decline.

52

One important international agreement in this regard is the Stockholm Convention on persistent

53

Organic Pollutants (POPs), which is a global treaty to protect human health and the environment

54

from hazardous substances by restricting and ultimately eliminating their use, trade, release and

55

storage. Worldwide, significant quantities of PCBs are however still in present in old

56

infrastructure and equipment. Some PCBs are shown to have various toxic effects (Reviewed by

57

Safe [5]), including immunosuppressive and endocrine disrupting effects, as well as impairment

58

of reproduction.

59 60

The environmental fate of contaminants, such as PCBs, is an important ecotoxicological

61

aspect, and bioaccumulation is a fundamental phenomenon in this regard. For a chemical to

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bioaccumulate, it must be available (bioavailable), and once bioaccumulated, a contaminant may

63

(dependent on its physico-chemical properties) be further subject to biomagnification (the

64

chemical concentration in an organism exceeds that in its diet after dietary absorption [6]). In

65

aquatic organisms, bioaccumulation is the process that causes an increased chemical

66

concentration in the organism compared to that in its ambient environment, water and/or

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sediment [7]. Recently a group of experts has suggested the following definition of a

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bioaccumulative substance in a regulatory context: a substance is considered bioaccumulative if it

69

biomagnifies in food chains [8].

70 71

It is well known that because of their persistence and lipophilicity, PCBs have the potential to

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bioaccumulate and biomagnify in food chains . The highest concentrations of these compounds

73

are found in top predators like seabirds and marine mammals [e.g. 3, 4].

74 75

Other persistent organic pollutants (POPs) share similar physicochemical properties as some

76

of the PCBs (for instance polybrominated diphenyl ethers, PBDEs and hexachlorocyclododecane,

77

HBCD; [9, 10]). Therefore, results obtained from bioaccumulation studies where PCBs are

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employed as the model compounds may to some extent serve as valuable information with regard

79

to POP bioaccumulation processes, in general.

80 81

Aquatic organisms take up PCBs and other lipophilic substances through the ingestion of food

82

and directly from water through passive diffusion at the body surface, mainly via the respiratory

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surfaces. Several models have been introduced to describe these processes (reviewed by Mackay

84

and Fraser [7]). Which of these routes that are the most important for bioaccumulation may vary

85

between organisms with different modes of living, and have been the subject of much discussion

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(See below; [e.g. 7, 11, 12]). Bioaccumulation is the net result of uptake and elimination (the

87

latter through metabolic transformation, reproductive losses, fecal egestion, or diffusive fluxes

88

[13, 14]). The capability of metabolic transformation of PCBs by fish is however limited, and

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fecal elimination has been shown as a no important loss mechanism [13]. Mechanistic mass

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balance models may be built where the different uptake and elimination processes are quantified.

91

These models have the advantage that they may take into account effects of phenomena like

92

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compound specific biotransformation rates and ‘growth dilution’ [7]. They are, however, in need

93

of sound parameterization.

94 95

Environmental monitoring

96

The Coordinated Environmental Monitoring Program (CEMP) is administered by the Oslo

97

and Paris Commissions (OSPAR) in their effort to assess and remedy anthropogenic impact on

98

the marine environment of the North East Atlantic. The Norwegian contribution to the CEMP

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was initiated by the Norwegian Climate and Pollution Agency in 1981 as part of the national

100

monitoring program, and the current focus is on the levels, trends and effects of hazardous

101

substances, including PCBs. It comprises several areas, including the Oslofjord and adjacent

102

localities [15].

103 104

Objectives

105

The objective of this study was to elucidate the role of sediments as source of PCBs

106

accumulated in Atlantic cod (Gadus morhua) through two exposure routes: (1) through (direct)

107

diffusion from the sediment (via the water phase), and (2) through the food chain (dietary

108

exposure). Furthermore, known PCB-concentrations in liver of cod from the inner Oslofjord,

109

available through a national environmental monitoring program (CEMP; described above), were

110

used as reference to assess the role of contaminated sediments specifically for the cod in the inner

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Oslofjord.

112 113

Current chemical legislation and regulating organs use a framework and criteria to assess the

114

potential hazard and risk according to the chemicals’ bioaccumulative potential (B), in addition to

115

their persistence (P) and toxicity (T) (“PBT” criteria; [e.g. 16]). These criteria are continuously

116

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challenged [e.g. 8, 17]. Based on recent discussions among scientists and regulators, several

117

recommendations have been put forward regarding evaluation of the B-criterion [e.g. 8]. These

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recommendations include taking into account the accumulation from the diet by the use of

119

biomagnification factors (BMF; ratio between predator and prey concentrations) and/or trophic

120

magnification factors (TMF; the average factor by which the lipid normalized concentration

121

increases per trophic level; determined from the slope (m) derived by linear regression of Log10-

122

transformed biota concentration and trophic position; TMF = 10m) when evaluating the

123

bioaccumulation potential of a chemical. The present study also serves as a trial for the feasibility

124

of such an approach.

125 126

As such, organisms used in the present study were Atlantic cod and the “King rag” worm

127

Nereis virens (Polychaeta). The study has comprised two long term (months) mesocosm

128

experiments:

129

1. Study of the bioaccumulation of PCBs in cod exposed to resuspended contaminated

130

sediment particles (‘the sediment resuspension experiment’).

131

2. Study of the bioaccumulation of PCBs in cod fed benthic invertebrates (the polychaete

132

Nereis virens) exposed to contaminated sediment (‘the dietary exposure experiment’).

133 134

In both exposure experiments, cod were exposed for a total of 129 days, with sampling at d 0,

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d 13, d 26, d 39, d 52, d 66, d 97 and d 129. In the latter experiment, the polychaetes were

136

exposed to sediment for a minimum of 9 weeks before being fed to the cod.

137 138

The organisms employed were chosen for the commercial value, ecological relevance, the

139

availability, and the experience that they are possible to hold in aquaria for extended periods.

140

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Furthermore, Atlantic cod is also one of the species of choice in several environmental

141

monitoring programs, including CEMP. The cod is common on the continental shelf in most of

142

the North-Atlantic. Mostly, the cod is a benthic feeder, but may live pelagic. Nereis virens is

143

common along the Atlantic coasts of Europe, North to the mid-West coast of Norway [18]. It

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occupies burrows in muddy sand. Sediment-dwelling organisms, such as several species in the

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Nereis genus are important prey items e.g. to demersal and bottom-feeding fish, such as cod, and

146

may therefore contribute to the transport of contaminants to higher levels in marine food chains

147

[e.g. 4].

148 149

The contaminated sediments employed in the experiments were from the inner Oslofjord,

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which includes the city harbor area of Oslo. The Norwegian Food Safety Authority has issued

151

advice against consumption of cod liver from the inner Oslofjord, based on the PCB

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contamination.

153 154

In the present experiments, samples were also preserved for the evaluation of metabolites of

155

polycyclic aromatic hydrocarbon (PAHs) in the bile of the fish, as well as for different biomarker

156

responses. These will be discussed elsewhere (Daae et al. in prep.).

157 158

Materials and methods

159

Sediment sampling

160

The test-sediment (PCB-contaminated) was collected from the upper 5-15 cm of the sediments

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at locations in the Inner Oslofjord area (Eastern Norway), using a 0.1 m2 Van Veen grab. The

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collection took place between 59 52.176 and 59 53.974 North and between 10 40.630 and

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10 43.682 East. Uncontaminated reference (control) sediment was collected at a fixed location

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in the outer Oslofjord, previously employed in bioaccumulation studies and documented to have

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very low concentrations of organic pollutants [19]. The sediments were collected in spring, 2006.

166 167

For transport and prior to the experiments, the sediment was stored in 150-L boxes.

168

Approximately 750 L of contaminated sediment (6 boxes) and 250 L of reference (control)

169

sediment (2 boxes) were collected. The sediment was homogenized by shoveling aliquots of

170

sediment between boxes simultaneously as they were slurried by the use of a mortar mixer for

171

approximately 1 h (Eibenstock EHR-20 S, Elektrowerkzeuge GmBH Eibenstock, Germany).

172 173

Test-organisms

174

Atlantic cod were purchased from Marin Invest AS (Sandøy, Western Norway; resuspended

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sediment exposure experiment) and Marine Harvest ASA (Eggesbønes, Western Norway; dietary

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exposure experiment). The fish were brought to NIVA’s marine research facility Solbergstrand

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by the use of tank lorries and held for a minimum of 2 months (acclimation) before initiation of

178

the experiments. Prior to arrival, the fish were fed pellets: Gemma micro, Gemma 0.3/0.5,

179

Gemma 0.75/1.0/1.2, Europa Respons 1.5 mm, Europa Respons 2.0 mm and Europa Respons 3.0

180

mm. After arrival at Solbergstrand, prior to the experiment, fish were fed Europa Respons 3.0 and

181

4.0 mm (supplier of all fish feed; Skretting AS, Stavanger, Norway). The experiments were

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conducted after approval by The Norwegian Animal Research Authority (NARA).

183 184

Rag worms (Nereis virens) were purchased from Seabait Ltd. (Ashington Northumberland,

185

UK), and brought to NIVA’s marine research facility Solbergstrand by air freight and car. Before

186

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and during the experiments, the worms were fed Skretting advanced fish feed (Coapse fish - 23.

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Skretting, Roman Island, Westfort Co., Mayo, Ireland).

188 189

Experimental setup and sampling procedures

190

The experimental procedures for ‘the sediment resuspension experiment’ were as follows:

191

Atlantic cod (approximately 450 g) were transferred to 6 fiberglass tanks (45  110  110 cm;

192

545 L) of which 3 tanks (the ‘exposed’ group) contained a 16 cm deep layer of sediment from the

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inner Oslofjord (approximately 195 L of sediment in each tank; samples recovered for chemical

194

analysis). The remaining three tanks did not contain sediment (‘control’ group). At day zero (d 0;

195

March 3rd, 2006) 13 individual cod were transferred to each tank.

196 197

The tanks were supplied with running seawater (8 L min-1; from 60 m depth outside the

198

research facility Solbergstrand). In this way the fish were ensured sufficient oxygen (measured to

199

75% saturation; WTW Oxi 340i; WTW GmbH, Weilheim, Germany). Through the exposure

200

period (129 days) the mean temperature was 7.4 C (range: 6.3-9.2) and the mean salinity was

201

34.6 (range: 34.2-34.9; logged by WTW-probes, WTW GmbH). The fish were given a

202

maintenance diet (every second day) of pellets (3 mm and 4 mm; sampled for chemical analysis)

203

throughout the experiment to comply with their needs, but avoid excessive growth. Because of

204

the proportion of sediment in relation to amount water and fish, the swimming activity of the fish

205

could initially disturb the sediment sufficiently to produce turbid water. Mechanical disturbance

206

of the sediment was performed the last 4-5 weeks by the use of a small propeller (3 blades; : 4

207

cm) mounted on a drill (Bosch P9B 600 RE; Robert Bosch AS, Ski, Norway). Sampling of fish

208

were performed at d 0, d 13, d 26, d 39, d 52, d 66, d 97 and d 129. Six fish were sampled at day

209

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0. At every other outtake, one fish from each tank were sampled (n=3 in each group, ‘exposed’

210

and ‘control’). The fish were terminated by a blow to the head, before the gall-bladder was

211

emptied of bile (using a syringe; handled elsewhere (Daae et al., in prep.)) and the liver was

212

carefully excised and stored for chemical analysis (-20 °C; cod is a lean fish with the liver as the

213

storage site for lipid reserves, thus nearly the whole body burden of lipophilic contaminants can

214

be observed here [15]).

215 216

The experimental procedures for ‘the dietary exposure experiment’ were carried out in two

217

phases, (1.) exposure of polychaetes to sediments and (2.) feeding polycheates to fish:

218 219

The exposure of polychaete worms was as follows: N. virens were exposed to the sediments

220

(inner Oslofjord (‘exposed’) or outer Oslofjord (‘control’)) in containers of 11 L with lid.

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Approximately 8 L of sediments and 20-35 worms were added to each container, which was

222

supplied with continuous water flow through (250 mL min-1). One container was prepared for

223

each feeding of fish (a total of 37 feedings). For logistical reasons, two rounds of polychaete

224

exposure were conducted. Worms from the first exposure, were individually stored at -20 C and

225

served as ‘box lunch‘ for the fish towards the end of the fish exposure period (last 3 weeks).

226

Furthermore, this batch functioned as the food backup, in case of unexpected mortality among the

227

worms in the second batch. The worms from the second batch were extracted fresh from the

228

sediment prior to each feeding of fish. Triplicate samples were prepared of sediments and

229

polychaetes for chemical analysis.

230 231

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The worms were fed pellets (see above, 2-3 g per container) 3 times each week, and were

232

exposed to the sediments for a minimum of 9 weeks (which is twice the minimum duration

233

recommended by Lee et al. [20]). Through the polychaete exposure periods the mean

234

temperatures were 8.1 C (range: 7.6-9.2) and 8.5 C (range: 5.8-12.1), while the mean salinities

235

were 34.3 (range: 33.9-34.5) and 34.1 (range: 33.4-34.5) for batch 1 and 2, respectively (logged

236

by WTW-probes, WTW GmbH).

237 238

The feeding of sediment exposed-polychaetes to Atlantic cod was as follows: One week prior

239

to the first feeding (d 0) the cod (mean weight: 78 g) were transferred to individual compartments

240

in aquaria measuring 35  35  70 cm (3 compartments in each). One fish was added to each

241

compartment. A total of 54 fish were thus occupying 18 aquaria. The aquaria were supplied air

242

(bubbling) and continuous water flow through (1 L min-1). Through the exposure period (129

243

days) the mean temperature was 7.7 C (range: 6.6-9.7) and the mean salinity was 34.3 (range:

244

33.8-34.5; logged by WTW-probes, WTW GmbH).

245 246

The cod were fed exclusively N. virens twice a week (every 3rd to 4th day). The amount of

247

worm (4-6 g) fed to the fish was weighed out and logged. The weekly amount of worm fed to the

248

fish represented a minimum of 8% of the fish body weight. The individual compartments in the

249

aquaria facilitated the individual feeding of the fish and at each feeding it was observed that the

250

fish ingested all that was presented.

251 252

Sampling of fish was performed at d 0, d 13, d 26, d 39, d 52, d 66, d 97 and d 129. At d 0, six

253

fish were sampled. At every other outtake, 3 fish were sampled from each group (fed worms

254

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exposed to contaminated sediment (‘exposed’) or fed worms exposed to clean sediment

255

(‘control’)). The fish were put to death by a blow to the head. At each sampling the fish length,

256

weight and liver weight were measured. Samples were secured from the liver and stored (-20 C)

257

for chemical analysis. Furthermore, samples were preserved from bile, liver and blood for

258

analysis of metabolites of polycyclic aromatic hydrocarbons (PAHs; in bile), activity of 7-

259

ethoxyresorufin O-deetylase (EROD; in liver), amount of cytochrome P450 1A protein (CYP1A;

260

in liver), amount of vitellogenin and zona radiata protein (in blood), and activity of -amino

261

levulinic acid dehydrase (Ala-D; in blood). These biomarker responses are handled elsewhere

262

(Daae et al., in prep.).

263 264

Extraction, cleanup and PCB analysis, and analysis of sediment properties

265

The chemical analyses were performed at NIVA. The laboratory is accredited by the

266

Norwegian Accreditation as a testing laboratory according to the requirements of NS-EN

267

ISO/IEC 17025 (2000). Furthermore, analytical standards are certified by the participation in

268

international calibration tests, including QUASIMEME twice per year. The procedures for

269

extraction, cleanup and quantification of PCB congeners were as described in Supplemental

270

information, as are the analyses of sediment properties. The certified reference materials used

271

were SRM 1944 and SRM 1588b (National Institute of Standards and Technology, Gaithersburg,

272

MD, USA) and recoveries were 78 to 120 %. The detection limit was defined as >3 times signal

273

noise and was from <0.05 to <1.0, dependent on congener and matrix.

274 275

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Statistical methods

276

Statistical analysis was performed with the use of Statistica software (Ver 7.0;

277

Statsoft,Tulsa, OK, USA). Temporal differences in cod liver PCB concentrations (within groups;

278

“exposed” or “control”) were evaluated using Analysis of Variance (ANOVA). Levene’s test was

279

used to test for heterogeneity of variance. If necessary, data were Log10-transformed to reduce

280

heterogeneity of variance. Furthermore, if homogeneity of variance was not obtained, temporal

281

differences in PCB concentrations were evaluated using the non-parametric Kruskal-Wallis test,

282

as were differences in PCB concentrations between cod exposed to contaminated sediment

283

(directly or via polychaetes) and unexposed cod (no sediment exposure, or fed polychaetes

284

exposed to clean control sediment), and differences in PCB concentrations between polychaetes

285

exposed to contaminated sediments and polychaetes exposed to clean (control) sediments. The

286

Dunnet post-hoc test (following ANOVA), or the non-parametric multiple comparison test

287

(following Kruskal-Wallis), were employed to test for differences against zero-time. Linear

288

regressions were applied to assess concentration increases in cod. A significance level of  =

289

0.05 was chosen.

290 291

Results and Discussion

292

Methodical aspects

293

There was no mortality of cod during the exposure experiments, apart from one individual in

294

the dietary exposure experiment (a surplus of fish was employed in the experiments (see above),

295

thus this had no effect on the number of analyzed individuals). Apparently there was no, or

296

minimal (not logged) mortality among the worms during the exposure, as there were plenty of

297

worms in surplus for the feeding of cod, and no cadavers could be observed. The cod from the

298

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dietary exposure experiment showed no signs of discomfort from a diet consisting exclusively of

299

polychaetes. They soon became very tame, eating from the hand of the keeper. Furthermore, by

300

day 129 of the exposure, they had gained 46.5% (mean ± 7.6 standard deviation) of their initial

301

bodyweight (measured at d 0; corresponding to 33 g from a starting point of 71 g, on average),

302

indicating that they were thriving on the worms. The holding of the fish, however (in terms of

303

size of the setup) dictated limitations in the number of replicates (n=3).

304 305

The sediments applied in the two exposure experiments differed somewhat in PCB-content

306

(see below; Table 1), despite the homogenization efforts (above). This renders direct comparisons

307

between absolute concentrations accumulated in the fish from the two exposure experiments

308

difficult. It should be noted, however, that the variability between replicates, within each

309

experiment, was small. Direct comparisons between absolute concentrations accumulated in the

310

fish from the two exposure experiments were further complicated by different lipid content (and

311

different variability in such) of the fish livers, between exposure experiments (see below; Figure

312

1; Table S1, see Supplemental information).

313 314

It should also be noted that the because of the fairly high water flow-through (to meet the life

315

support requirements of the fish) in the ‘sediment resuspension experiment’, the PCB distribution

316

in the exposure system may not reflect partition equilibrium between sediment and water [21].

317

This may obscure the importance of PCB accumulation from sediment via the water phase.

318

However, the flow-through conditions will resemble field conditions, where mixing and water

319

movements will be present. On the other hand, resuspension of the sediment (to mimic

320

disturbance of sediment in shallow waters) was done to facilitate desorption of particle associated

321

PCBs and render them more available to the fish.

322

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323

Sediments and polychaetes

324

Moderately high concentrations of PCBs were observed in the sediments used in the

325

experiments (Table 1; [22]), with concentrations a factor of ~4 higher in the dietary exposure

326

experiment than in the sediment resuspension experiment.

327 328

Concentrations of PCBs accumulated in N. virens were significantly higher in the exposed

329

worms than in the control group (a factor of 3 to 6; Table 1). The lipid content in the worms was

330

identical between groups. Calculating biota-to-sediment accumulation factors (BSAF;

331

(COrg/fLip)/(CSed/fOC), where COrg is the wet wt. concentration in the organism, fLip is the fraction of

332

tissue wet wt. that is lipid, CSed is the dry wt. concentration in the sediment, and fOC is the fraction

333

of organic carbon in the sediment (g g-1 dry wt.)) gave values between 0.24 (PCB-28) and 0.67

334

(PCB-101). These values are somewhat lower (implying lower bioavailability) than a theoretical

335

expectation of 1.6 (see Supplemental information), provided the following assumptions [23]: (1.)

336

bioaccumulation of sediment associated PCBs in N. virens occurs (merely) as an equilibrium

337

partitioning between sediment particles (organic carbon in particular) and water, and between

338

water and the organism lipids, (2.) the relationship between the sediment:water partition

339

coefficient (Kd) and the organic carbon:water partition coefficient (KOC) is Kd = KOC  fOC, (3.)

340

There is a double logarithmic, linear relationship between KOC and KOW (the octanol:water

341

partition coefficient; log KOC = log KOW – 0.21; [24]; one domain sorption model) , and (4.) the

342

partitioning coefficient between the organism lipids and the water equals KOW. Furthermore,

343

BSAFs of PCBs were somewhat lower than those e.g. observed in the oligochaete Lumbriculus

344

variegatus [25, 26]. On the other hand, BSAFs were orders of magnitude higher than those

345

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observed for polycyclic aromatic hydrocarbons (PAHs) in e.g. N. diversicolor exposed to

346

sediments with characteristic composition of sorption domains with high binding strength [23].

347

The values corresponded, however, well with previously observed BSAFs for PCBs in N.

348

diversicolor [19] and grass shrimp (Palaemonetes pugio; [27]). The results indicate fairly high

349

bioavailability of PCBs in the sediments, possibly slightly reduced by carbonaceous geosorbents

350

present in the Oslofjord sediments [28].

351 352 353 Cod

Different lipid content in fish livers were (as mentioned) observed between exposure

354

experiments (Figure 1; Table S1, see Supplemental information). Furthermore, the variability in

355

lipid content among livers were different between exposure experiments (coefficient of variation,

356

CV = 20.3% and 12.8% in the dietary exposure experiment and the sediment resuspension

357

experiment, respectively; all individuals and sampling days). There were, however, no signs of a

358

systematic change in lipid content, over time, in neither of the experiments, or groups (exposed

359

vs. control); Figure 1; Table S1, see Supplemental information). Consequently, concentrations are

360

treated/graphically expressed on a lipid wt. basis in the following (wet wt. concentrations

361

presented in Table S1; see Supplemental information).

362 363

PCBs and other hydrophobic compounds express a high affinity for lipids [e.g. 7].

364

Ideally, equilibrium will eventually occur between the concentrations of these compounds in

365

aquatic organisms and the surrounding water constituting their habitat [12]. Respiratory surfaces

366

(i.e. gills) play an important role in this partitioning, as the compounds associate with the lipoid

367

cell membranes in the gill epithelium and are circulated to lipid tissues within the organism.

368

Equilibrium partitioning can be regarded as an approximate lipid:water partitioning, thus the KOW

369

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may provide valuable information [7]. The PCB congeners in focus of the present study have

370

KOW values ranging from 5.13 103 (PCB-28) to 1.54 107 (PCB-180), increasing with degree of

371

chlorination [29].

372 373

An apparent increase in concentrations with time could be observed in the exposed group of

374

the sediment resuspension experiment for most congeners (Figure 2). However, the hepatic

375

concentrations of several congeners apparently also increased towards the end of the experiment

376

in the control group (Figure 2). Nevertheless, significant differences were found between the

377

exposed group and the control group, at several sampling days, but only for PCB-28 and -52

378

(those with the lowest KOW; note limited statistical power due to low n). Furthermore,

379

significantly different concentrations towards the end of the experiment, compared to d 0, were

380

found for these congeners. The apparent increase, also in the control group, may likely be

381

explained by fish in both groups being fed with commercial fish feed throughout the experiment.

382

Analysis of this feed showed traces of PCBs (0.25 µg kg-1 (PCB-28 and -180) to 1.7 µg kg-1

383

(PCB-153) wet wt.; PCB7=6.75 µg kg-1 wet wt.; lipid content 16.0% wet wt.).

384 385

Ergo, the two congeners with the lowest hydrophobicity (KOW) showed a temporal increase in

386

concentrations, that may be related to accumulation of sediment associated PCBs, corresponding

387

to previous observations [e.g. 27], suggesting lower bioavailability of higher chlorinated

388

congeners in the water phase. According to Clark et al. [11], a large fraction of chemicals with

389

KOW 104 – 105 may be present in the water phase (dissolved), when KOW=106, half is adsorbed to

390

particles present in the water, and when KOW=108, all is adsorbed to particles. Furthermore,

391

(21)

several field observations suggest that aquatic organisms that accumulate PCBs from water

392

(through diffusion), contain higher proportions of the lower chlorinated congeners [e.g. 3, 4].

393 394

The results further suggest that steady state is not reached (no indication of an asymptotic

395

levelling) after 129 days for any of the congeners. Congeners with a lower degree of chlorination

396

(and thus lower hydrophobicity) reach equilibrium faster than the higher chlorinated homologues

397

[e.g. 30, 31]. An influence on the results by congener specific biotransformation by the fish can,

398

however, not be ruled out.

399 400

There were markedly (statistically significant) higher concentrations of all PCB congeners in

401

the exposed group, compared to the control, towards the end of the dietary exposure experiment

402

(Figure 3). The PCB concentrations in the unexposed (control) group maintained a low level

403

through the whole experiment (129 days; Figure 3). Significant differences in concentrations

404

among sampling days and compared to d 0 could be observed (again) for congeners PCB-28 and

405

-52 (significant differences among sampling days in the exposed group also for PCB-138 and -

406

180; Figure 3; note low statistical power due to low n). Also in the dietary exposure experiment,

407

there were no indications of an asymptotic levelling of the concentrations within the maximum

408

exposure period of 129 days (Figure 3). Thus concentrations might very well have increased if

409

the experiment was continued. This possible continued increase also illustrates challenges using

410

biomagnification as a regulatory endpoint [8], if such potential must be shown prior to chemicals

411

being released to the market and thus the environment (e.g. according to the Registration,

412

Evaluation, Authorisation and Restriction of Chemicals (REACH) of the European Union [16]).

413

The Trophic Magnification Factor (TMF) is suggested as a “golden standard” in bioaccumulation

414

and has been applied in many field studies [e.g. 8]. The present accumulation results, however,

415

(22)

suggests inappropriately complex, time consuming and expensive test protocols if TMFs would

416

be applied to laboratory experiments, in terms of preventive environmental safety. Thus, the use

417

of alternative approaches, such as measuring uptake and elimination rates (in an uptake phase and

418

a subsequent depuration phase), to derive “steady-state biomagnification factors” [e.g. 8] seems

419

more applicable in this regard.

420 421

Crude estimates of the assimilation efficiency of the PCBs fed to cod, through the polychaete

422

“vehicle”, during the 129 d exposure period could be made since the following parameters were

423

known: (1.) the total amount (kg) polychaetes fed to the cod (2.) the mean PCB concentrations

424

(µg kg-1) in the polychaetes, (3.) initial (d 0) PCB concentrations (µg kg-1) and weight (kg) of cod

425

livers, (4.) terminal PCB concentrations (µg kg-1) and weight (kg) of cod livers. The results show

426

that 30-50% of the total amount of PCBs fed to the cod (via N. virens) through the 129 d

427

exposure period is stored in the cod liver (Table S2; see Supplemental information). The highest

428

assimilation efficiency was apparent for the lower chlorinated congeners (PCB-28 and -52).

429 430

According to Kelly et al. [32], the assimilation efficiency of different persistent organic

431

compounds in fish is slightly less than 50% and decrease for compounds with KOW>107. It is

432

suggested that transport of very hydrophobic compounds across the intestinal wall is limited by

433

an aqueous diffusion resistance [33]. Thus, a possible explanation for the decrease in dietary

434

assimilation efficiency with increasing hydrophobicity, is slow transport through intestinal

435

aqueous phases because of low aqueous solubility [34, 35]. An influence on the results by

436

congener specific biotransformation by the fish can, however, not be ruled out.

437 438

(23)

As mentioned, there are factors that impede direct comparisons between the results of the

439

sediment resuspension experiment and the dietary exposure experiment. Firstly, the sediment

440

applied in the dietary exposure experiment contained somewhat higher concentrations of PCBs,

441

than the sediment applied in the sediment resuspension experiment (Table 1). Secondly, there

442

were differences in the liver lipid content of the fish employed in the two experiments (Figure 1;

443

Table S1, see Supplemental information). In a review of bioaccumulation mechanisms and

444

models, Mackay and Fraser [7] present a “rule of thumb” implying that the importance of dietary

445

accumulation versus diffusive accumulation (across respiratory surfaces) is approximately

446

KOW/200 000. This relationship will vary dependent on fish size, condition and species. However,

447

for very hydrophobic substances (i.e. log KOW>6.5) diffusive uptake over respiratory surfaces will

448

not be important, while for less hydrophobic substances (i.e. log KOW<4.0), dietary uptake

449

becomes less important, since equilibrium between the fish and the surrounding water will be

450

reached more quickly. The results of the present study (considering the above mentioned

451

complicating factors, however) do not suggest this “rule of thumb” erroneous.

452 453

Extrapolations and concluding remarks

454

In the dietary exposure experiment, higher concentrations were observed in the exposed

455

group, compared to the control towards the end of the exposure period (d 52 – d 129) for all

456

congeners (Figure 3). Furthermore, no increases in concentrations were indicated in the control

457

group (Figure 3). Plotting time (days; continuous scale) versus concentration (exposed group),

458

produced significant (p<0.0014) linear regressions for all congeners (as well as PCB7; Figure

459

S1, see Supplemental information). The goodness-of-fit decreased, however, for the more

460

chlorinated/hydrophobic congeners (R2= 0.76, 0.68, 0.40, 0.39, 0.34, 0.44, 0.44 and 0.43 for

461

(24)

PCB-28, -52, -101, -118, -153, -138, -180 and PCB7, respectively; Figure S1, see Supplemental

462

information). Given the following assumptions: (1.) a continued linear increase in concentrations

463

and (2.) an initial concentration equal to the intercept of the regression (approximately the

464

medians of the d 0 concentrations; see Figure S1, Supplemental information), the slopes of the

465

regressions may be used to make crude estimates/extrapolations of the time needed to reach

466

concentrations present in wild caught cod from the inner Oslofjord (known through

467

environmental monitoring; Table 2). Such extrapolations showed that the time needed to reach

468

concentrations present in wild Oslofjord cod were 0.2 (PCB-28) to 5.8 (PCB-153) years (Table

469

3). It must be noted that these extrapolations may likely represent underestimates, since the

470

assumption of a continued linear increase until reaching concentrations present in wild Oslofjord

471

cod might be erroneous. Alternatively, the increase might be curvilinear (first order; [e.g. 36,

472

37]). Additionally, the issue of growth dilution must be taken into account. For compounds with

473

concentrations that change slowly, a growth constant of e.g. 0.001 Day-1 (corresponding to a

474

doubling in size in slightly less than 2 years) will lead to a considerable dilution in the organism

475

[7]. Other factors will also increase the uncertainty of such crude extrapolations. Wild cod also

476

feed on other organisms than polychaetes [e.g. 38], and at a certain size, a shift in trophic position

477

may occur. Furthermore, the PCB concentrations of the Oslofjord sediment are obviously not

478

uniform [e.g. 39] and will be both higher and lower than those used in the experiment in some

479

areas. Nevertheless, generally the results suggest that the contaminated sediments of the inner

480

Oslofjord are an important source of legacy PCBs for accumulation in the native cod, although

481

additional contributions from e.g. atmospheric deposition and runoff from the surrounding

482

(urban) landscapes also may be substantial [40]. The study has further indicated the feasibility of

483

conducting long term (months) experiments for elucidating contaminant accumulation from

484

(25)

sediments to fish, via one level of the food chain, providing opportunities for related topics. On

485

the other hand, challenges for applying Trophic Magnification Factors (TMF) to determine

486

biomagnification in laboratory experiments, in terms of preventive environmental safety, are

487

indicated. The results will provide useful information for parameterization of models describing

488

the behaviour of hydrophobic persistent contaminants in the foodweb of the Oslofjord and

489

elsewhere.

490 491 492

Supplemental information

493

Extraction, cleanup and PCB analysis, Sediment property analyses, Table S1, Table S2, Figure

494

S1, Calculation of biota-to-sediment accumulation factors (BSAFs).

495 496 497

Acknowledgements

498

This study was partly (50%) funded by “Fagrådet for vann- og avløpsteknisk samarbeid i indre

499

Oslofjord”. Thanks to Jan Magnusson for assistance in launching the project. Thanks are also due

500

to Sigurd Øxnevad, Per-Ivar Johannessen and Nasir Hamndan El-Shaikh for their skillful

501

assistance during the mesocosm exposure experiments.

502 503 504

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[24] Karickhoff SW, Brown DS, Scott TA. 1979. Sorption of hydrophobic pollutants on

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[25] You J, Landrum PE, Trimble TA, Lydy MJ. 2007. Availability of polychlorinated

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[26] You J, Landrum PF, Lydy MJ. 2006. Comparison of chemical approaches for assessing

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[27] Maruya KA, Lee RE. 1998. Biota-sediment accumulation and trophic transfer factors for

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extremely hydrophobic polychlorinated biphenyls. Environ Toxicol Chem 17:2463-2469.

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[28] Cornelissen G, Breedveld GD, Kalaitzidis S, Christanis K, Kibsgaard A, Oen AMP. 2006.

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Strong sorption of native PAHs to pyrogenic and unburned carbonaceous geosorbents in

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physicochemical properties of organic compounds. Environ Toxicol Chem 21:941-953.

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[30] Ellgehausen H, Guth JA, Esser HO. 1980. Factors determining the bioaccumulation

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potential of pesticides in the individual compartments of aquatic food-chains. Ecotox Environ

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[31] Hawker DW, Connell DW. 1985. Relationships between partition-coefficient, uptake rate-

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constant, clearance rate-constant and time to equilibrium for bioaccumulation. Chemosphere

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14:1205-1219.

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[32] Kelly BC, Gobas F, McLachlan MS. 2004. Intestinal absorption and biomagnification of

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organic contaminants in fish, wildlife, and humans. Environ Toxicol Chem 23:2324-2336.

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[33] Gobas F, Muir DCG, Mackay D. 1988. Dynamics of dietary bioaccumulation and fecal

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elimination of hydrophobic organic-chemicals in fish. Chemosphere 17:943-962.

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[34] Gobas F, McCorquodale JR, Haffner GD. 1993. Intestinal-absorption and

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biomagnification of organochlorines. Environ Toxicol Chem 12:567-576.

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[35] Gobas F, Zhang X, Wells R. 1993. Gastrointestinal magnification - the mechanism of

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biomagnification and food-chain accumulation of organic-chemicals. Environ Sci Technol

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27:2855-2863.

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[36] Bruggeman WA, Martron L, Kooiman D, Hutzinger O. 1981. Accumulation and

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elimination kinetics of dichlorobiphenyls, trichlorobiphenyls and tetrachlorobiphenyls by

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goldfish after dietary and aqueous exposure. Chemosphere 10:811-832.

609

[37] Sijm D, Seinen W, Opperhulzen A. 1992. Life-cycle biomagnification study in fish.

610

Environ Sci Technol 26:2162-2174.

611

[38] Demain DK, Gallego A, Jaworski A, Priede IG, Jones EG. 2011. Diet and feeding niches

612

of juvenile Gadus morhua, Melanogrammus aeglefinus and Merlangius merlangus during the

613

settlement transition in the northern North Sea. J Fish Biol 79:89-111.

614

[39] Arp HPH, Villers F, Lepland A, Kalaitzidis S, Christanis K, Oen AMP, Breedveld GD,

615

Cornelissen G. 2011. Influence of historical industrial epochs on pore water and partitioning

616

profiles of polycyclic aromatic hydrocarbons and polychlorinated biphenyls in Oslo harbor,

617

Norway, sediment cores. Environ Toxicol Chem 30:843-851.

618

[40] Breivik K, Bjerkeng B, Wania F, Helland A, Magnusson J. 2004. Modeling the fate of

619

polychlorinated biphenyls in the inner Oslofjord, Norway. Environ Toxicol Chem 23:2386-2395.

620 621 622

(31)

Figure Legends

623 624

Figure 1. Lipid content (% wet wt.) in liver of cod (Gadus morhua) from the sediment

625

resuspension experiment (left) and the dietary exposure experiment (right) after 13, 26, 39, 52,

626

66, 97 and 129 days; n=3 at all sample days (and both groups; exposed vs. control), except at d 0,

627

where n=6. Median, minimum and maximum are depicted (i.e. all observations, except at d 0). In

628

the sediment resuspension experiment, the ‘exposed’ fish were experimentally exposed to

629

resuspended sediment from the inner Oslofjord, while the ‘control’ fish were not exposed to

630

sediment. In the dietary exposure experiment, the ‘exposed’ fish were fed polychaetes (Nereis

631

virens) previously exposed to sediment from the inner Oslofjord, while the ‘control’ fish were fed

632

N. virens previously exposed to unpolluted sediment. Note: Categorical X-axis.

633 634

Figure 2. Concentrations (µg kg-1; lipid wt.) of PCBs (-28 , -52, -101, -118, -153, -138 and -180,

635

and the sum of these, PCB7) in liver of cod (Gadus morhua) from the sediment resuspension

636

experiment after 13, 26, 39, 52, 66, 97 and 129 days; n=3 at all sample days (and both groups;

637

exposed vs. control), except at d 0, where n=6. Median, minimum and maximum are depicted

638

(i.e. all observations, except at d 0). The ‘exposed’ fish were experimentally exposed to

639

resuspended sediment from the inner Oslofjord, while the ‘control’ fish were not exposed to

640

sediment. Significant differences between ‘exposed’ and ‘control’ are indicated by “*”.

641

Significant differences among sampling days in the exposed group are indicated by “a”, while

642

significant differences among sampling days in the control group are indicated by “b”.

643

Significant differences between each specific sampling day and d 0 are indicated by “c”. Note:

644

different scale on response axes; categorical X-axis.

645

(32)

646

Figure 3. Concentrations (µg kg-1; lipid wt.) of PCBs (-28 , -52, -101, -118, -153, -138 and -180,

647

and the sum of these, PCB7) in liver of cod (Gadus morhua) from the dietary exposure

648

experiment after 13, 26, 39, 52, 66, 97 and 129 days; n=3 at all sample days (and both groups;

649

exposed vs. control), except at d 0, where n=6. Median, minimum and maximum are depicted

650

(i.e. all observations, except at d 0). The ‘exposed’ fish were fed polychaetes (Nereis virens)

651

previously exposed to sediment from the inner Oslofjord, while the ‘control’ fish were fed N.

652

virens previously exposed to unpolluted sediment. Significant differences between ‘exposed’ and

653

‘control’ are indicated by “*”. Significant differences among sampling days in the exposed group

654

are indicated by “a”, while significant differences among sampling days in the control group are

655

indicated by “b”. Significant differences between each specific sampling day and d 0 are

656

indicated by “c”. Note: different scale on response axes; categorical X-axis.

657 658

(33)

Exposed Control

Dietary exposure experiment Sediment resuspension experiment

Day

Lipids (% w. wt.)

0 13 26 39 52 66 97 129

0 20 40 60 80 100

Day

Lipids (% w. wt.)

0 13 26 39 52 66 97 129

0 20 40 60 80 100

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